Introduzione ad Apache Airflow in Python
Mike Metzger
Data Engineer

on_failure_callback - Dag/task fallisceon_success_callback - Dag/task riesceon_retry_callbackon_skipped_callbackon_execute_callback
contextcontext contiene info sull'esecuzione del Dag/taskcontext["dag"].dag_id - Nome del Dagcontext["task_instance"].task_id - Nome del taskcontext["logical_date"] - Data dell'esecuzione del Dagcontextdef alert_on_failure(context):dag_id = context["dag"].dag_id task_id = context["task_instance"].task_id print(f"Task {task_id} in DAG {dag_id} has failed.")
def alert_on_failure(context): dag_id = context["dag"].dag_id task_id = context["task_instance"].task_id print(f"Task {task_id} in Dag {dag_id} has failed.")@dag(on_failure_callback=alert_on_failure) def sales_etl_dag(): @task() def data_import_task(): raise ValueError("Simulated failure")# Task data_import_task in Dag sales_etl_dag has failed.
SmtpNotifier - Invia avvisi emailSlackNotifier - Pubblica messaggi su un canale Slack
airflow.providers.smtp.notifications.smtpfrom_email e tosubject, html_content, ecc.@dag(dag_id=`sales_etl_dag`,
on_failure_callback=SmtpNotifier(
to='[email protected]',
from_email='[email protected]',
subject='Dag sales_etl_dag has failed'
)
)

Introduzione ad Apache Airflow in Python